Models_based_on_digital_image_processing_test

使用Tensoflow实现图卷积神经网络模型(Use Tensoflow Implementation Figure convolution neural network model)

ncut分割算法matlab代码，实现图像分割的较好的方法(ncut segmentation algorithm Matlab code to achieve a better image segmentation methods)

目前已有的手部运动跟踪系统大多在一定程度上限制了人体运动自由. 基于此, 提出一种无线、 可穿戴、 无障碍的腕关节、 指关节运动跟踪系统. 在人体每个手指甲上粘贴一轻小永磁体, 用以产生标示腕关节、指关节运动的信号 若干磁传感器置于手腕处的电子腕带上, 作为标示信号( 磁信号) 检测器. 当腕关节、 指关 节运动时, 永磁体在各传感器所在位置处的合成磁场发生变化, 传感器对该磁场信号进行测量, 所检测到的磁场信号送入手部姿势估计器, 估计器基于系统数学模型计算手部姿势, 从而实现对手部运动的跟踪.(Most of the existing hand movement tracking system to a certain extent limited the freedom of human motion. This paper presents a wireless, wearable, accessible wrist, knuckles motion tracking system. In each fingernail on the human body Paste a light small permanent magnet to produce marked the wrist, referring to the signal of the joint movement the number of magnetic sensors placed in the wrist at the electronic wristband, as marked signal (magnetic signal) detector. when the wrist, knuckles campaign , the permanent magnet in the magnetic field of the sensor location at changes in the sensors of the magnetic signal measurement, the detected magnetic field signal sent from the start with the Ministry of posture is estimated, the estimator based on the mathematical model to calculate the hand position in order to achieve of hand movement tracking.)

Application of the Fourier-Mellin transform to translation-, rotationand scale-invariant plant leaf identification

蚁群算法实现医学图像的分割，同时对比FCM算法，非常有用，可以直接运行，包含测试MRI图片(Ant-Colony algorithm for MRI image segmentation including MRI image for testing.)

说明：  二进小波变换的图像增强,matlab代码(Dyadic wavelet transform image enhancement, matlab code)

Tracking based on background subtraction

对全极化数据进行多视处理,针对T矩阵，C语言编写。(Multi-look of PolSAR)

实现基于颜色的Kmeans图像分割，只是需要自己设定聚类中心数目，聚类中心初始化采用Kmeans++(Kmeans image segmentation based on color, but need to set the number of cluster centers, clustering center initialization using Kmeans++)

说明：  当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。( This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio)